Complete reqork of how slider training works and optimized it to hell. Can run entire algorythm in 1 batch now with less VRAM consumption than a quarter of it used to take

info.py

@@ -3,6 +3,6 @@ from collections import OrderedDict
 v = OrderedDict()
 v["name"] = "ai-toolkit"
 v["repo"] = "https://github.com/ostris/ai-toolkit"
-v["version"] = "0.0.3"
+v["version"] = "0.0.4"
 
 software_meta = v